<p>Comparison of kernelPLS with four other methods. For 10-fold cross validation classification accuracy(%) and AUC (%) of SVM on two-class datasets.</p
Hyperparameter tuning is a mandatory step for building a support vector machine classifier. In this ...
<p>Comparison among Naïve Bayes classifier, simple SVM classifier and BPB-PPMS classifier in the 5-f...
<p>10-Fold Cross Validation Accuracy of classification methods with the addition of noisy variables....
<p>Comparison of kernelPLS with four other methods. For 5-fold cross validation classification accur...
<p>Comparison of kernelPLS with four other feature filters for the classification accuracy(%) and AU...
<p>The accuracy from 5-fold cross validation of SVM using EVSA and GDDA as kernel.</p
<p>Performance was evaluated based on the AUC scores using independent tests.</p
<p>Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using poly...
<p>Average SVM classification accuracy of kernel and non-kernel based methods varying the number of ...
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
<p>A comparison of accuracy of all tested methods (being: ANN – Artificial Neural Network, SVM-poly ...
<p>The classification performance (ARR) of SVM with the real best kernel vs. with the recommended ke...
<p>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validati...
<p>SVM based performance on testing dataset (5-fold cross-validation) using parameters t = 2 (RBF ke...
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
Hyperparameter tuning is a mandatory step for building a support vector machine classifier. In this ...
<p>Comparison among Naïve Bayes classifier, simple SVM classifier and BPB-PPMS classifier in the 5-f...
<p>10-Fold Cross Validation Accuracy of classification methods with the addition of noisy variables....
<p>Comparison of kernelPLS with four other methods. For 5-fold cross validation classification accur...
<p>Comparison of kernelPLS with four other feature filters for the classification accuracy(%) and AU...
<p>The accuracy from 5-fold cross validation of SVM using EVSA and GDDA as kernel.</p
<p>Performance was evaluated based on the AUC scores using independent tests.</p
<p>Comparison of the performance of Support Vector Machine (SVM) classifier with sampling using poly...
<p>Average SVM classification accuracy of kernel and non-kernel based methods varying the number of ...
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
<p>A comparison of accuracy of all tested methods (being: ANN – Artificial Neural Network, SVM-poly ...
<p>The classification performance (ARR) of SVM with the real best kernel vs. with the recommended ke...
<p>The generalized performance of the SVM model. We rebuilt the model for 100 times for the validati...
<p>SVM based performance on testing dataset (5-fold cross-validation) using parameters t = 2 (RBF ke...
<p>The accuracy of SVM using just single propensity by the 2-level 10-fold cross validation scheme.<...
Hyperparameter tuning is a mandatory step for building a support vector machine classifier. In this ...
<p>Comparison among Naïve Bayes classifier, simple SVM classifier and BPB-PPMS classifier in the 5-f...
<p>10-Fold Cross Validation Accuracy of classification methods with the addition of noisy variables....
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